Onrec

How Data Annotation Powers AI Behind the Scenes

Every AI model depends on labeled data. Data annotation is the process of tagging images, text, audio, or video so that ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...
IEEE

Variable-k Neighborhood Rough Set-Based Feature Reduction Algorithm

Abstract: To address the problem that traditional neighborhood rough set methods have difficulty adapting to non-uniform data distributions, which often leads to inaccurate local approximations and ...
The Lancet

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre ...

aInstitute for TCM-X, MOE Key Laboratory of Bioinformatics, Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing, China ...